Natus eegJobs
...seeking an experienced professional who can design a Matlab code for comprehensive pre processing of EEG data with FieldTrip. Key Requirements: - Strong skills in Matlab programming and specifically in creating scripts for data analysis. - Previous experience of working with EEG data (best in FieldTrip). - Familiarity with EEG data formats and understanding of how to interpret the data. - Problem-solving abilities to tackle potential data analysis issues. The primary task will be to create an efficient code able to handle EEG data and pre process such that (LATER, NOW NOT NEEDED) an analysis can be done to extract meaningful insights from it. The goal is to translate these sets of raw EEG data into a well-structured output, where the results can be...
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I'm seeking an experienced data analyst for decoding raw time-domain signals from EEG data, with the primary purpose of furthering cognitive function research. Key Responsibilities: - Pre-process and analyze the raw time-domain EEG data. Specific Skills and Experience: - Proficient in data analysis - Familiarity with EEG data Just need some preliminary results showing pre, during, and post treatment in the alpha/beta band waves. No specific graph in mind, any graphs that can be generated from the EEG data will be great.
I'm seeking help to make the attached Matlab code work with the provided edf file. The main aim is to understand the frequency content of the signals visually. Here, I'm particularly interested in analyzing brain wave patterns. My project entails: - Analyzing the power spectral density of the EEG signals from an edf file type - Interpreting the brain wave patterns reflected in the EEG data Ideal Skills: - Expertise in EEG signal analysis - Comprehensive understanding of power spectral density
I'm seeking an experienced data analyst for decoding raw time-domain signals from EEG data, with the primary purpose of furthering cognitive function research. Key Responsibilities: - Pre-process and analyze the raw time-domain EEG data. Specific Skills and Experience: - Proficient in data analysis - Familiarity with EEG data Just need some preliminary results showing pre, during, and post treatment in the alpha/beta band waves. No specific graph in mind, any graphs that can be generated from the EEG data will be great.
I require an expert-level computer science professional to collaborate on an epilepsy-focused project ...science professional to collaborate on an epilepsy-focused project using deep learning models. Key components include: - Expertise in utilizing Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and RESNET-152 deep learning models. - Experience with interpreting Electroencephalogram (EEG) data. - Ability to achieve a fast turnaround as the project completion is desired ASAP. The ultimate goal is the efficient classification of epileptic seizures with the assistance of EEG data, utilising the strengths of CNN, LSTM, and RESNET-152 models. Your significant experience in these areas will greatly enhance the successful execution of this project within the d...
As a seasoned Data Scientist and Machine Learning expert, I'm strongly positioned to assist you in developing a game-changing website for real-time EEG data collection, analysis, and transmission – precisely what your project necessitates. Over my 5+ years of experience, I have honed my skills in big data analytics, statistical modeling, and computer vision which are crucial in extracting valuable insights from dense EEG data. Harnessing the capabilities of Python and MATLAB for advanced analytics has been second nature to me; I will extend this expertise to integrate your system seamlessly with ThingSpeak for secure data storage and efficient analysis. What differentiates me is not just profound technical proficiency but a proven track record of delivering robust...
I'm embarking on an innovative project that aims to develop a comprehensive website for real-time electroencephalogram (EEG) data collection, analysis, and transmission to medical professionals. It will enable efficient monitoring of patients' brain activity remotely, facilitating timely interventions and improving patient outcomes. The website will feature a user-friendly interface with secure login functionality for both doctors and patients. Doctors will have access to patient data for review and analysis, while patients can view their EEG reports and recommendations provided by doctors. Key features include real-time EEG data collection from connected devices, advanced data analysis algorithms for anomaly detection, integration with ThingSpeak for data ...
I'm embarking on an innovative project that aims to develop a comprehensive website for real-time electroencephalogram (EEG) data collection, analysis, and transmission to medical professionals. It will enable efficient monitoring of patients' brain activity remotely, facilitating timely interventions and improving patient outcomes. The website will feature a user-friendly interface with secure login functionality for both doctors and patients. Doctors will have access to patient data for review and analysis, while patients can view their EEG reports and recommendations provided by doctors. Key features include real-time EEG data collection from connected devices, advanced data analysis algorithms for anomaly detection, integration with ThingSpeak for data ...
I'm seeking a competent website developer to create a mental health disorder diagnosis project. The focus of this website is to introduce a low cost EEG that could help identify the 15 most mental health disorders. I am looking forward to collaborating with a developer who is as passionate about creating meaningful website. Let’s connect and discuss how we can make this project a reality.
I'm currently in search of a proficient scientific writer with a solid foundation in AI (Artificial Intelligence), EEG (Electroencephalography), and Neuroscience. The successful candidate will be tasked with crafting medium-length research papers, ranging between 1000-2000 words each, focused extensively on cutting-edge Neurotechnology. **Ideal Skills and Experience:** - Deep understanding of AI, particularly its application in neuroscience and EEG data analysis. - Proficiency in Neuroscientific research methods and terminologies. - Previous experience writing scholarly articles or research papers published in recognized scientific journals. - Ability to synthesize complex scientific ideas into clear, accessible prose. - Familiarity with the latest research and developm...
...integrate the Raspberry Pi for the purpose of testing an EEG headset, accompanied by an oscillator software. This initiative is pivotal for advancing our current capabilities in real-time data processing, directly from the EEG headset. **Key Tasks for the Python Developer:** Take a look at the existing Python code that examines a WAVE file and tests it against a set parameters (re does the Wave file operate within the expected parameters). Software exists and has been used many times, a bit out of date - some improvements - need someone to one this. The software exists for -testing- the accuracy of an EEG headset. - **Raspberry-Pi Hardware Integration:** The primary focus will be on integrating Raspberry-Pi with the existing EEG headset software. This i...
I have a project that's based around analyzing visual data consisting of EEG (Electroencephalogram) and eye movements. The job duties will include: -Analyze Brainwave patterns caught through EEG -Interpret eye movement patterns -Examine correlations between EEG and eye movements Ideal candidates should possess the following skills: -In-depth knowledge of visual data analysis -Experience with EEG and eye movement analysis -Strong correlation analysis skills This endeavor will require a robust understanding of the human brain and how it interacts with eye movements. Prior experience in a similar role will be a significant advantage.
To further investigate and predict autism spectrum disorder (ASD) and typic...autism spectrum disorder (ASD) and typical development (TD), I'm aiming to develop an advanced multimodal deep learning model, such as Transformer. This model will primarily use EEG data, so any potential candidates for this project should have the qualifications, attached in the documents. Although I'm not sure which specific EEG signals are significant for ASD detection, I'm looking for someone with a comprehensive understanding of EEG data who can guide the project. This involves determining what signals might be important, such as frequency bands, amplitude, or event-related potentials (ERPs), amidst the many facets of EEG data. Help me revolutionize early ASD and TD...
In this innovation-driven project, I am seeking a specialist with proficient knowledge in Brain-Computer Interface (BCI), who can also code using the Unicorn Hybrid Black system. As a key player in the team, you will be focusing primarily on: - D...Developing and programming using Unicorn Hybrid Black for effective functionality. The main aim of this project is to develop a ground-breaking BCI application to cater to the needs of advanced medical research. We will be concentrating on capturing and interpreting EEG (Electroencephalography) data. That being said, experience in handling EEG data would also be beneficial. Ideal Skills and Experience: - Sound Understanding of BCI Systems. - Proficiency in Programming using Unicorn Hybrid Black. - Extensive Knowledge in EEG...
Hi Andriy A., this is for the latest project discussed that needs to be delivered by 1/10/24.
I'm on a quest to discover code that will allow the successful connection of a NeuroSky MindWave Mobile 2 (MWM2) device to an Arduino. Key aspects of my project include: - NeuroSky Device: The specific model I wish to use is the NeuroSky MindWave Mobile 2 (MWM2). Experience in working with this type of EEG device will be invaluable. - Data Extraction: The type of data I am interested in extracting is the processed brainwave data. Therefore, any potential freelancer will need to understand how to collect and interpret this data type from the NeuroSky device. - Purpose: This is a hobby project. As such, I am willing to accept bids from enthusiastic amateurs as well as professionals. Previous experience with NeuroSky devices and Arduinos is beneficial, and those comfortable ...
...provide assistance with deepening EEG signals. The project involves the following tasks: - Algorithm development: The main focus of the project is to develop algorithms for processing EEG signals. - Data analysis: The engineer will be responsible for conducting thorough data analysis on the EEG signals. - Hardware setup: The engineer should be experienced in setting up the necessary hardware for EEG signal acquisition. Ideal Skills and Experience: - PhD in electrical engineering or a related field, with a specialization in EEG signal processing. - Strong knowledge of algorithm development and data analysis techniques. - Experience in setting up hardware for EEG signal acquisition. - Familiarity with specific software usage and processing tech...
So I have been working on this project with EEG signals where I give stimulus to a mouse in the form of motor and light generated signals control via arduino. I record EEG data with and without this external stimulus.I have the code to analyse the EEG data in the absence of this stimuli but I need help in synchronization of the stimuli to the EEG signal derived from a mouse. I want to measure the phase delay correspending to the stimuli The EEG data that I record is through a open source software Open Ephys The data of stimuli comes through one channel and the EEG data comes through another 5 channels So basically, I need to segregate one wave signal on the base of amplitude.
I am looking for a skilled programmer to develop code for EEG analysis using Python. The main purpose of the code will be signal processing. I will provide the specific EEG data set for the project. Requirements: - Proficiency in Python programming language - Experience in signal processing - Familiarity with EEG data analysis Skills and Experience: - Strong programming skills in Python - Knowledge of signal processing techniques - Experience in analyzing EEG data sets
I am looking for a professional who can help me build an EEG data sensing circuit that is able to send both analog and digital signals to a light and motor via a zigbee interface. The desired range of the EEG data to be sensed should be between 0-100 uV. The circuit should be designed for indoor use. Experience with similar projects is required to be considered for this job. Thanks!
...comprehensive EEG data analysis utilizing MATLAB software. The analysis will be a ERP (N170), Time-Frequency Analysis, which refers to the investigation of how power is distributed over both time and frequency. This type of electrode data analysis will provide a better understanding of brain oscillations and how they vary over time. The analysis report should be comprehensive, providing detailed findings and interpretations of the EEG data. By providing this level of detail in the analysis report, it should enable other experts in the field to further investigate or replicate the analysis. I am expecting a high quality analysis PhD analysis that will provide a greater depth of knowledge about the data being analyzed. Therefore, the freelancer should possess expertise us...
...looking for a freelancer who can help me with the classification of brain signals using the SVM method in MATLAB. The purpose of this project is to develop a brain-computer interface. Requirements: - Experience in signal classification and feature extraction from EEG signals - Proficiency in MATLAB programming language - Knowledge of the SVM method for classification - I need results form of figures the signals , featues and in need 4 classes signals to supply it to the arduino circuit Project Details: - I have a specific dataset of EEG signals that need to be classified - I have Matlab code for feauters extraction - The task involves extracting features from the signals and using the SVM method to classify them into 4 different classes If you have the required skills ...
...seeking an electrical engineer- PhD with expertise in EEG signals to assist with a project focused on deepening the understanding of these signals. The ideal candidate will have experience in signal acquisition and preprocessing, as well as signal analysis and interpretation. Specifically, I am looking for help with the classification method of EEG signals. I have specific goals for the deepening of these signals, and the project timeline is urgent, with a deadline of 1-2 weeks. Required Skills and Experience: - Electrical engineering background with a PhD in the field - Expertise in EEG signal acquisition and preprocessing - Strong knowledge of signal analysis and interpretation - Previous experience with classification methods for EEG signals If you me...
...Firstly, I need someone who can apply at least 5 deep learning models for EEG data analysis on the MODMA dataset. The objective is to find out which model gives the best accuracy. While I do not have any specific models in mind, I am open to the freelancer's expertise in selecting the most suitable ones. Secondly, I need a user-friendly website to be created where doctors or patients can easily input various parameters related to the condition of the patient. I am not sure about the specific requirements for the website's interface and functionality, so I would greatly appreciate the freelancer's recommendations in this regard. Ideal skills and experience for this project include: - Proficiency in deep learning models for EEG data analysis - Experience wor...
The microcontroller acts as the initial sensing unit for EEG signals. Once these are detected, a MIMO antenna system is activated to further collect EEG data with higher precision through electromagnetic frequencies. This enhanced data is then sent to a computer running a BCI software that employs a P300-based method to facilitate communication and potentially even visualize what the person is seeing. Here are some considerations for this setup: 1. **Precision**: The use of MIMO for 'virtual electrode placement' could potentially enhance the spatial resolution of EEG readings. 2. **Signal Quality**: MIMO can help improve signal-to-noise ratio, ensuring more accurate and reliable data transmission. 3. **Real-time Processing**: Both P300 detection a...
Resting EEG of control subjects was recorded in a quiet room with eyes open (5 min) and eyes closed (5 min)* using a 64-channel cap. The EEG data are in various formats, such as European Data Format (.edf), EEGLAB (.fdt, .set) or Biotrace Compressed Data (.bcd), and do not contain events. The purpose of the programme is to perform the following tasks in GNU Octave or Matlab, which can run under GNU Octave: 1. transport the EEG data to GNU Octave 2. remove noise and other artefacts 3. provide the possibility to select certain positions in the extended 10-20 system from the EEG data (e.g. Cz, F3, F4) 4. apply Hanning windowing to the filtered signal at the selected position 5. use an elliptic bandpass filter [1.5-45] GHz (see attachment) 6. call the MATLAB ellip...
I have several Mikroe click boards. I am going to design a system which get biomedical data using ECG EEG sensors(which are Mikroe ECG/EEG/PPG boards). Based on boards I have, I need somone who write STM32 codes (using HAL)and help me to implement the project. Additionally, I am interested in having the embedded system provide sensor integration functionalities. As a result, knowledge in communicating with sensors, obtaining data, and storing in SD card. For this project, experience with embedded systems and C++ programming is a must.
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Project: Apply unsupervised machine learning algorithms like PCA and K-Means on the given EEG dataset. Also, prepare a report based upon the following criteria(see report criteria given below). Dataset: A data set with 4980 segments is given in Project data set 2 (for report 2 working), in which each segment is the data collected from different patients (not in chronological order). For all the 4980 segments, there are 9 data sets (p1, p2, p3, p4, p5, p6, p7, p8 and p9) that can be considered feature sets. The feature sets are calculated from the corresponding segments of raw EEG data using 9 different feature extraction methods respectively (which are different with x1 to x8). However, all the feature data p1 from different segments are calculated by the same feature ext...
I am looking for a skilled freelancer to debug and translate MATLAB code for EEG encephalitis diagnosis to Python. The project requires the following skills and experience: Proficiency in MATLAB Advanced level of Python coding proficiency Ability to provide detailed comments in the Python code to understand the translation process The freelancer should have a strong background in MATLAB and Python and experience translating code between the two languages. The project involves debugging and ensuring the accuracy of the translated code for accurate EEG encephalitis diagnosis. Important: Only freelancers who are confident in their ability to complete this project should contact me. Upon initial contact, I will provide the MATLAB codes for review. Attached is the related paper f...
I am reaching out to explore the possibility of your expertise in the analysis of EEG data for a recent study we conducted. Briefly, our study involved a double-blind placebo-controlled trial with 22 participants, testing the effects of a magnetic brain stimulation device. Each participant experienced two sessions: one placebo (without any brain stimulation) and one with genuine magnetic brain stimulation. We are interested in ANYTHING you can tell us about the data. We’ve done some basic analysis and think there are some positive effects taking place. Our primary objective is to discern the positive effects of the device (example being changes in alpha, theta, delta, gamma, etc or hemispheric synchronization, etc) that were notably enhanced by our device. To achieve a com...
...ADCs and OPAMPs. - Practical experience with electronic production through external fabrication services. - Adept at optimizing device costs while maintaining high-quality standards. Optional Skills (Desirable but Not Mandatory): - Experience with serial production of electronics. - Ability to analyze and apply insights from related technical articles. - Familiarity with technologies like OpenBCI, EEG, ADS1299, PIC32, STM32, FTDI, and the Arduino IDE. If you're passionate about analog circuit design, microcontroller integration, and electronics optimization, and you're excited to lead a team in creating innovative electronic devices, we encourage you to apply. Please submit your resume, along with a cover letter detailing your relevant experience and projects that sho...
I am looking for a freelancer who can assist me with identifying cortical and subcortical arousals from ...looking for a freelancer who can assist me with identifying cortical and subcortical arousals from PSG data for research purposes. Ideal Skills and Experience: - Proficient in analyzing EEG,ECG,EMG signals from Polysomnogram (PSG) data - Familiarity with identifying cortical and subcortical arousals - Experience in research data analysis - Experience with MATLAB The project will involve: - Analyzing EEG,ECG,EMG signals from Polysomnogram (PSG) data - Identifying cortical and subcortical arousals - Collecting and analyzing relevant data for research purposes If you have the necessary skills and experience in EEG signal analysis and research data analysis, plea...
Project Description: EEG, EMG, photometery synchronization for a research study Ideal Skills and Experience: - Experience in synchronizing EEG, EMG, and photometry data - Proficiency in statistical data analysis - Familiarity with real-time data synchronization Project Requirements: 1. Synchronize EEG, EMG, and photometry data in real-time for a research study. 2. Perform statistical data analysis on the synchronized data. 3. Ensure accurate and precise synchronization to facilitate the research study. 4. Provide regular updates and progress reports on the synchronization process. 6. Deliver a comprehensive report detailing the synchronized data and statistical analysis results. 7. Maintain confidentiality and adhere to ethical guidelines throughout the project. Not...
Job Description: We are seeking a highly skilled and experienced MATLAB programmer to assist with the development of a data analysis function for neuroscience experiments. Your primary role will be to write a MATLAB function that processes and analyzes electrophysiology data obtained from hippocampal brain slices. The data includes paired synaptic responses and the effects of various drug cocktails on these responses. Responsibilities: Develop a MATLAB function to import and process .wcp data files using import_wcp.m function. Write code to analyze the data and extract key parameters, such as the average peak amplitude of the first fEPSP under different drug conditions. Implement statistical analyses to determine the effects of the various drug treatments on the peak amplitude of the...
I need power spectra plots made of resting state EEG data in EEGLab.
Urgent Task: Need to complete in 1 days The goal of this task is to denoise an EEG dataset acquired during a simultaneous EEG-fMRI experiment, extract some frequency-domain measures from the denoised EEG signal, and correlate it with an fMRI image (which is a 4d image, each voxel is a time series). The end result will be whole-brain correlation maps showing which brain areas correlate best with EEG. There are 5 parts to this task
Seeking assistance with the signal processing aspect of an EEG simulation project. Requirements: - Experience in EEG signal processing techniques - Familiarity with Python programming Ideal skills and experience for the job: - Strong knowledge and understanding of EEG signal processing techniques - Proficiency in Python programming - Ability to analyze and interpret EEG data - Experience with data preprocessing, filtering, and noise reduction techniques - Familiarity with signal analysis and feature extraction methods - Knowledge of machine learning algorithms for EEG data analysis - Previous experience working on EEG simulation projects Note: Please include your past work, experience, and detailed project proposals in your application.
Seeking assistance with the signal processing aspect of an EEG simulation project. Requirements: - Experience in EEG signal processing techniques - Familiarity with Python programming Specific assistance needed in: - Filtering and noise removal - Feature extraction - Signal classification No specific requirements for the Python programming aspect of the project. Client's familiarity with EEG signal processing techniques: Not mentioned.
I am seeking assistance with the signal processing aspect of an EEG simulation project. The desired outcome of the project is to improve signal accuracy. The ideal candidate should have experience in EEG signal processing techniques and be familiar with Python programming. The specific signal processing techniques that require assistance are filtering and preprocessing, feature extraction, and classification and analysis. The project may involve improving existing code or writing new code from scratch.
Need to complete in 3 days The goal of this task to denoise an EEG dataset acquired during a simultaneous EEG-fMRI experiment, extract some frequency-domain measures from the denoised EEG signal, and correlate it with an fMRI image (which is a 4d image, each voxel is a time series). The end result will be whole-brain correlation maps showing which brain areas correlate best with EEG. There are 5 parts to this task
The goal of this task to denoise an EEG dataset acquired during a simultaneous EEG-fMRI experiment, extract some frequency-domain measures from the denoised EEG signal, and correlate it with an fMRI image (which is a 4d image, each voxel is a time series). The end result will be whole-brain correlation maps showing which brain areas correlate best with EEG. There are 5 parts to this task
The goal of this task to denoise an EEG dataset acquired during a simultaneous EEG-fMRI experiment, extract some frequency-domain measures from the denoised EEG signal, and correlate it with an fMRI image (which is a 4d image, each voxel is a time series). The end result will be whole-brain correlation maps showing which brain areas correlate best with EEG. There are 5 parts to this task
___ Computer science task EEG simulation I am seeking assistance with the signal processing aspect of an EEG simulation project. Digital signal processing including common denoising techniques (ICA), filtering, resampling, and convolution. The goal of this task is to denoise an EEG dataset acquired during a simultaneous EEG-fMRI experiment, extract some frequency-domain measures from the denoised EEG signal, and correlate with fMRI image (which is a 4d image, each voxel is a time series). The end-result will be whole-brain correlation maps showing which brain areas correlate best with EEG. Skills and Experience: - Strong background in signal processing, specifically in EEG data analysis - Proficiency in Python programming language - Ex...
...programs in the US. (Specific types provided ex :Physical Therapy Programs) and then acquire the name, number, and email of the Program Directors. Est 3000-5000 schools/contacts. Thank you!! Disciplines Anesthesia Tech Cath Lab Tech Certified Medication Aide Certified Respiratory Therapist (CRT) Clinical Lab Scientist CNA COTA CT Technologist Cytotechnologist Dialysis Technician Dosimetrist Echo Tech EEG Tech Electro Physiologist (EP) Endoscopy/GI Tech Histology Technician IR Technician LPN Mammographer Medical Assistant Medical Lab Scientist Medical Lab Technician Medical Lab Technologist Medical Physicist Monitor Technician MRI Technician Nuclear Medical Technician Nurse Practitioner (NP) Obstetrics Tech Occupational Therapist (OT) Paramedic/EMT Perfusionist Pharmacist Pharma...
...Science Task EEG Simulation Description: I am seeking assistance with the signal processing aspect of an EEG simulation project. The ideal candidate should have experience in EEG signal processing techniques and be familiar with Python programming. Skills and Experience: - Strong background in signal processing, specifically in EEG data analysis - Proficiency in Python programming language - Experience with EEG simulation and modeling - Familiarity with relevant libraries and tools in Python for signal processing - Ability to work within a 1-2 week timeframe to complete the task Digital signal processing including common denoising techniques (ICA), filtering, resampling, and convolution. The goal of this assignment is to denoise an EEG dat...
We are working on a project on developing preprocessing and classification method of hybrid EEG-NIRS data from this link and Take a look at the publications in the attach files. The original code can be accessed from We would like to develop a new preprocessing and classification algorithm using the machine or deep learning model with any language, then apply it to the 2 datasets (run each sample separately for both datasets). Further, design an attractive architecture for the entire experiment. The result format will be very similar to the attached paper. The classification accuracy should be higher than the attached papers. Please contact me for more
1. To identify and classify different types of arousals in EEG, ECG, respiratory signals.
